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Abstract #1843

Prostate cancer detection in men with a clinical suspicion of prostate cancer using IMPROD biparametric MRI and expression of 11 genes (IMPROD trial, #opensourcetrial): evaluation using machine learning methods

Ileana Montoya Perez1, Tapio Pahikkala1, Antti Airola1, Harri Merisaari1, Pekka Taimen1, Saeid Alinezhad1, Janne Verho1, Otto Ettala2, Jani Saunavaara2, Aida Kiviniemi1, Kim Pettersson1, Peter J Boström2, Hannu Aronen1, and Ivan Jambor1,3

1University of Turku, Turku, Finland, 2Turku University Hospital, Turku, Finland, 3Icahn School of Medicine at Mount Sinai, New York, NY, United States

Eighty men with a clinical suspicion of prostate cancer (PCa) were enrolled as a part of IMRPOD trial (NCT01864135). The performance of 9 clinical parameters, 11 mRNA transcript levels and 4 IMPROD biparametric MRI (bpMRI) parameters for detection of PCa with Gleason score ≥3+4 was evaluated using GreedyRLS feature selection and nested cross-validation with area under the curve obtained from tournament leave-pair-out cross validation. IMPROD bpMRI reported using qualitative IMPROD Likert scoring system demonstrated high accuracy for PCa detection and none of the remaining parameters led to further improvement. All data are freely are available at the following address:

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